PyFlink 1.15 Documentation
--that, 1] # ... If there are any problems, you could perform the following checks. Check the logging messages in the log file to see if there are any problems: # Get the installation directory of PyFlink # It will output a path like the following: # /path/to/python/site-packages/pyflink # Check the logging under the log directory ls -lh /path/to/python/site-packages/pyflink/log # You will see the log file count.py -o word_count.py python3 word_count.py If there any any problems, you could check the logging messages in the log file as following: # Get the installation directory of PyFlink python3 -c "import0 码力 | 36 页 | 266.77 KB | 1 年前3PyFlink 1.16 Documentation
--that, 1] # ... If there are any problems, you could perform the following checks. Check the logging messages in the log file to see if there are any problems: # Get the installation directory of PyFlink # It will output a path like the following: # /path/to/python/site-packages/pyflink # Check the logging under the log directory ls -lh /path/to/python/site-packages/pyflink/log # You will see the log file count.py -o word_count.py python3 word_count.py If there any any problems, you could check the logging messages in the log file as following: # Get the installation directory of PyFlink python3 -c "import0 码力 | 36 页 | 266.80 KB | 1 年前3High-availability, recovery semantics, and guarantees - CS 591 K1: Data Stream Processing and Analytics Spring 2020
University 2020 Upstream Backup Upstream nodes act as backups for their downstream operators by logging tuples in their output queues until downstream operators have completely processed them. 15 Vasiliki University 2020 Upstream Backup Upstream nodes act as backups for their downstream operators by logging tuples in their output queues until downstream operators have completely processed them. 15 periodically University 2020 Upstream Backup Upstream nodes act as backups for their downstream operators by logging tuples in their output queues until downstream operators have completely processed them. 15 periodically0 码力 | 49 页 | 2.08 MB | 1 年前3Stream ingestion and pub/sub systems - CS 591 K1: Data Stream Processing and Analytics Spring 2020
application can publish invalidation events to update the IDs of objects that have changed. • Logging to multiple systems • a Google Compute Engine instance can write logs to the monitoring system0 码力 | 33 页 | 700.14 KB | 1 年前3Scalable Stream Processing - Spark Streaming and Flink
CustomReceiver(host: String, port: Int) extends Receiver[String](StorageLevel.MEMORY_AND_DISK_2) with Logging { def onStart() { new Thread("Socket Receiver") { override def run() { receive() }}.start() }0 码力 | 113 页 | 1.22 MB | 1 年前3Exactly-once fault-tolerance in Apache Flink - CS 591 K1: Data Stream Processing and Analytics Spring 2020
University 2020 Upstream Backup Upstream nodes act as backups for their downstream operators by logging tuples in their output queues until downstream operators have completely processed them. 4 Vasiliki0 码力 | 81 页 | 13.18 MB | 1 年前3
共 6 条
- 1